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GLM 5V Turbo vs Qwen3.7 Plus

Qwen3.7 Plus leads GLM 5V Turbo on the Artificial Analysis Intelligence Index, 25.2 to 23.5, and Qwen3.7 Plus costs 3.1x less per output token ($1.28 vs $4.00 per million). Updated October 22, 2026; 51 benchmarks have a result for both.

Replace GLM 5V Turbo Replace Qwen3.7 Plus
GLM 5V TurboZ.ai
Coding
No data
Overall
No data
Output $/M
$4.00
2
Qwen3.7 PlusQwen
Coding
33.2
Overall
54.0
Output $/M
$1.28
49
vs boards won of 51 shared

GLM 5V Turbo or Qwen3.7 Plus: which to pick

Only Qwen3.7 Plus has a coding score, 33.2 on the Vibe Coding Index; GLM 5V Turbo has none, so the two cannot be ranked on coding.

Pick GLM 5V Turbo for work measured by τ²-Bench Telecom or LMArena Vision: humor, where it leads.

Model AGLM 5V TurboZ.aiNot benchmarked1 independent benchmarkNo cost per solved taskModel BQwen3.7 PlusQwen33.2/1002 independent benchmarksNo cost per solved task
Shared results
51
GLM 5V Turbo only
14
Qwen3.7 Plus only
24
Like-for-like categories
8 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
GLM 5V Turbo not benchmarked, Qwen3.7 Plus 33.2 from 2 benchmarks.
Widest category
Coding, 5.9 points apart on average over 3 shared benchmarks.
Widest single gap
Humanity's Last Exam (Artificial Analysis run): GLM 5V Turbo 17.1% against Qwen3.7 Plus 35.6%, 18.5 points apart on a 0 to 100 scale.
Output price
GLM 5V Turbo $4.00 against Qwen3.7 Plus $1.28 per million output tokens, 3.1x apart.
Context window
GLM 5V Turbo takes 203K tokens, Qwen3.7 Plus 1M.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryGLM 5V TurboBarsQwen3.7 PlusTies
Coding03
Intelligence01
Agentic work10
Reasoning07
Math02
Knowledge04
Web design08
General124
All shared boards249
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for GLM 5V Turbo and Qwen3.7 Plus
BenchmarkGLM 5V TurboQwen3.7 PlusLeader
LMArena WebDev1402Not measuredOnly GLM 5V Turbo measured
AA Coding IndexNot measured55.9Only Qwen3.7 Plus measured
Vibe Code Bench (Vals AI)Not measured46.4%Only Qwen3.7 Plus measured
Code migration (Vals AI)Not measured12.9%Only Qwen3.7 Plus measured
Terminal-Bench 2.1 (Vals AI)Not measured52.8%Only Qwen3.7 Plus measured
SkillsBench (Vals AI)Not measured54.3%Only Qwen3.7 Plus measured
SciCodeNot measured46.1%Only Qwen3.7 Plus measured
Terminal-Bench Hard (Artificial Analysis run)32.6%47.0%Qwen3.7 Plus
FrontierCodeNot measured10.2%Only Qwen3.7 Plus measured
LMArena Text: coding14661473Qwen3.7 Plus
LMArena Text: software and IT14601473Qwen3.7 Plus
LMArena WebDev: React1386Not measuredOnly GLM 5V Turbo measured
LMArena WebDev: HTML1356Not measuredOnly GLM 5V Turbo measured
LMArena WebDev: from an image1425Not measuredOnly GLM 5V Turbo measured
Neither model has a result on the other 25 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GLM 5V Turbo and Qwen3.7 Plus
BenchmarkGLM 5V TurboQwen3.7 PlusLeader
AA Intelligence Index23.525.2Qwen3.7 Plus
Epoch Capabilities IndexNot measured147.0Only Qwen3.7 Plus measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GLM 5V Turbo and Qwen3.7 Plus
BenchmarkGLM 5V TurboQwen3.7 PlusLeader
AA Agentic IndexNot measured17.5Only Qwen3.7 Plus measured
Design Arena: agents building web apps1124Not measuredOnly GLM 5V Turbo measured
Design Arena: agents building full-stack apps1149Not measuredOnly GLM 5V Turbo measured
Design Arena: agents building mobile apps1134Not measuredOnly GLM 5V Turbo measured
Design Arena: agents building Android apps1267Not measuredOnly GLM 5V Turbo measured
Design Arena: agents building Godot games957Not measuredOnly GLM 5V Turbo measured
Design Arena: agents building games1102Not measuredOnly GLM 5V Turbo measured
Design Arena: HTML slides1070Not measuredOnly GLM 5V Turbo measured
Design Arena: PowerPoint slides1127Not measuredOnly GLM 5V Turbo measured
Finance Agent (Vals AI)Not measured38.2%Only Qwen3.7 Plus measured
Tax Agent Bench (Vals AI)Not measured10.5%Only Qwen3.7 Plus measured
Legal Research Bench (Vals AI)Not measured16.4%Only Qwen3.7 Plus measured
Excel Modeling Benchmark (Vals AI)Not measured49.3%Only Qwen3.7 Plus measured
τ²-Bench Telecom98.5%93.0%GLM 5V Turbo
OSWorld 2.0Not measured2.8%Only Qwen3.7 Plus measured
Neither model has a result on the other 26 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index07
Reasoning benchmarks for GLM 5V Turbo and Qwen3.7 Plus
BenchmarkGLM 5V TurboQwen3.7 PlusLeader
GPQA Diamond (Artificial Analysis run)80.9%90.0%Qwen3.7 Plus
Humanity's Last Exam (Artificial Analysis run)17.1%35.6%Qwen3.7 Plus
GPQA Diamond (Epoch AI run)Not measured87.9%Only Qwen3.7 Plus measured
Mystery game puzzlesNot measured17.0%Only Qwen3.7 Plus measured
LMArena Text: hard prompts14431460Qwen3.7 Plus
LMArena Text: expert14531466Qwen3.7 Plus
LMArena Text: hard prompts in English14561460Qwen3.7 Plus
LMArena Vision: diagrams12861292Qwen3.7 Plus
LMArena Vision: homework12731295Qwen3.7 Plus
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GLM 5V Turbo and Qwen3.7 Plus
BenchmarkGLM 5V TurboQwen3.7 PlusLeader
OTIS Mock AIMENot measured93.3%Only Qwen3.7 Plus measured
FrontierMath, tiers 1 to 3Not measured34.4%Only Qwen3.7 Plus measured
LMArena Text: math14421467Qwen3.7 Plus
LMArena Text: mathematical work14471470Qwen3.7 Plus
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GLM 5V Turbo and Qwen3.7 Plus
BenchmarkGLM 5V TurboQwen3.7 PlusLeader
MortgageTax (Vals AI)Not measured66.2%Only Qwen3.7 Plus measured
LMArena Text: science14481464Qwen3.7 Plus
LMArena Text: medicine and healthcare14331464Qwen3.7 Plus
LMArena Text: legal and government14361451Qwen3.7 Plus
LMArena Text: business and finance14351435Qwen3.7 Plus
Neither model has a result on the other 13 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for GLM 5V Turbo and Qwen3.7 Plus
BenchmarkGLM 5V TurboQwen3.7 PlusLeader
Design Arena: websites12301269Qwen3.7 Plus
Design Arena: UI components12101258Qwen3.7 Plus
Design Arena: game dev12181261Qwen3.7 Plus
Design Arena: data viz12021276Qwen3.7 Plus
Design Arena: 3D12081238Qwen3.7 Plus
Design Arena: all code categories12281269Qwen3.7 Plus
Design Arena: SVG11511208Qwen3.7 Plus
Design Arena: ASCII art11171143Qwen3.7 Plus
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index124
General benchmarks for GLM 5V Turbo and Qwen3.7 Plus
BenchmarkGLM 5V TurboQwen3.7 PlusLeader
SAGE (Vals AI)Not measured39.3%Only Qwen3.7 Plus measured
Vals Multimodal IndexNot measured53.9%Only Qwen3.7 Plus measured
IFBench61.1%78.0%Qwen3.7 Plus
Long context reasoning (AA-LCR)70.3%73.0%Qwen3.7 Plus
DTBenchNot measured84.0%Only Qwen3.7 Plus measured
LMCANot measured37.6%Only Qwen3.7 Plus measured
LMArena Text14371454Qwen3.7 Plus
LMArena Text: instruction following14231439Qwen3.7 Plus
LMArena Text: creative writing14171438Qwen3.7 Plus
LMArena Vision12641278Qwen3.7 Plus
LMArena Text: English14541458Qwen3.7 Plus
LMArena Text: non-English14201445Qwen3.7 Plus
LMArena Text: Chinese14911509Qwen3.7 Plus
LMArena Text: German14221471Qwen3.7 Plus
LMArena Text: JapaneseNot measured1412Only Qwen3.7 Plus measured
LMArena Text: Korean13971413Qwen3.7 Plus
LMArena Text: French14431472Qwen3.7 Plus
LMArena Text: Spanish14521457Qwen3.7 Plus
LMArena Text: Russian14321457Qwen3.7 Plus
LMArena Text: Polish14321449Qwen3.7 Plus
LMArena Text: multi-turn14311459Qwen3.7 Plus
LMArena Text: longer queries14381454Qwen3.7 Plus
LMArena Text: writing and language14201437Qwen3.7 Plus
LMArena Text: entertainment and media14071422Qwen3.7 Plus
LMArena Vision: English12741280Qwen3.7 Plus
LMArena Vision: Chinese13291332Qwen3.7 Plus
LMArena Vision: reading text12701288Qwen3.7 Plus
LMArena Vision: humor12681261GLM 5V Turbo
LMArena Vision: captioning1264Not measuredOnly GLM 5V Turbo measured
LMArena Vision: recognizing things1241Not measuredOnly GLM 5V Turbo measured
LMArena Vision: creative writing12521258Qwen3.7 Plus
LMArena Document14161444Qwen3.7 Plus
Neither model has a result on the other 14 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 5V Turbo and Qwen3.7 Plus
BenchmarkGLM 5V TurboQwen3.7 PlusLeader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

GLM 5V Turbo$0.0032Fits in one request
Qwen3.7 Plus$0.0010Fits in one request

Qwen3.7 Plus costs less

Repository review

50K input + 3K output tokens

GLM 5V Turbo$0.072Fits in one request
Qwen3.7 Plus$0.020Fits in one request

Qwen3.7 Plus costs less

Agent loop

200K input + 10K output tokens

GLM 5V Turbo$0.280Exceeds the context window
Qwen3.7 Plus$0.077Fits in one request

Qwen3.7 Plus costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of GLM 5V Turbo and Qwen3.7 Plus
SpecificationZ.ai GLM 5V TurboQwen3.7 Plus
MakerZ.aiQwen
WeightsNo public weights listedNo public weights listed
ReleasedApril 1, 2026June 3, 2026
Context window203K1M
Input $/Mtok$1.20$0.32
Output $/Mtok$4.00$1.28
Coding indexNot benchmarked33.2
Independent measurements behind it12
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5V Turbo better than Qwen3.7 Plus for coding?

Only Qwen3.7 Plus has a coding score, 33.2 on the Vibe Coding Index; GLM 5V Turbo has none, so the two cannot be ranked on coding. Pick GLM 5V Turbo for work measured by τ²-Bench Telecom or LMArena Vision: humor, where it leads.

Which is cheaper, GLM 5V Turbo or Qwen3.7 Plus?

GLM 5V Turbo costs $1.20 per million input tokens and $4.00 per million output tokens; Qwen3.7 Plus costs $0.32 and $1.28. Cost per solved task is known for neither of them.

Which has the bigger context window, GLM 5V Turbo or Qwen3.7 Plus?

Qwen3.7 Plus, with 1M tokens against 203K.

How many benchmarks is the GLM 5V Turbo vs Qwen3.7 Plus comparison based on?

51 benchmarks have a result for both models as of October 22, 2026. GLM 5V Turbo's coding index rests on 1 independent benchmark and Qwen3.7 Plus's on 2. Where only one model has a result, the page says so instead of naming a winner.

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